1. Cloud computing
ABHIJEET KUMAR SHAH

2. Cloud Computing is a technology that uses
the internet and central remote servers to
maintain data and applications. Cloud
computing allows consumers and
businesses to use applications without
installation and access their personal files
at any computer with internet access. This
technology allows for much more efficient
computing by centralizing storage,
memory, processing and bandwidth.

3. • In addition, the platform provides on demand
services, that are always on, anywhere, anytime
and any place.
• Pay for use and as needed, elastic (scale up and
down in capacity and functionalities).
• The hardware and software services are
available to the general public, enterprises,
corporations and businesses markets.

4. What is Driving Cloud Computing
•In one word-economics
•Faster,simpler,cheaper to use clouds apps
•No upfront capital required for servers and
storage
• No ongoing operational expenses for running
datacenter
• Applications can be accessed from
anywhere, anytime

5. Cloud

6. Service Model

7. Cloud Computing Service Layers
Services Description
Services Services – Complete business services such as
PayPal, OpenID, OAuth, Google Maps, Alexa
Application Application – Cloud based software that
Focused Application eliminates the need for local installation such as
Google Apps, Microsoft Online
Development – Software development platforms
Development used to build custom cloud based applications
(PAAS & SAAS) such as SalesForce
Platform – Cloud based platforms, typically
Platform provided using virtualization, such as Amazon
ECC, Sun Grid
Infrastructure
Storage Storage – Data storage or cloud based NAS such
Focused as CTERA, iDisk, CloudNAS
Hosting Hosting – Physical data centers such as those run
by IBM, HP, NaviSite, etc.

8. CLOUD LAYERS

9. Software as a Service (SaaS)
• SaaS is a model of software deployment where an
application is hosted as a service provided to customers
across the Internet.
• SaaS is generally used to refer to business software rather
than consumer software, falls under Web 2.0!
• By removing the need to install and run an application on a
user’s own computer it is seen as a way for businesses to get
the same benefits as commercial software with smaller cost
outlay.
• Saas alleviates the burden of software
maintenance/support, but users relinquish control over
software versions and requirements.
• Terms that are used in this sphere include Platform as a
Service (PaaS) and Infrastructure as a Service (IaaS).

10. Infrastructure-as-a-Service (IaaS)
•physical machines, storage, and clusters. virtual machines or
IaaS is service model which consists of
• Cloud infrastructures can also be heterogeneous, integrating
clusters, PCs and workstations.
• The system infrastructure can also include database management
systems and other storage services.
• The infrastructure in general is managed by an upper
management layer that guarantees runtime environment
customization, application isolation, accounting and quality of
service.
•The virtualization tools, such as hypervisors, also sit in this layer
to manage the resource pool and to partition physical
infrastructure in the form of customized virtual machines

11. Platform as a Service (PaaS)
•IaaS gives access to physical resources with some software
configuration, for designing new applications user requires
advanced tools such as Map Reduce etc. These services
constitute another layer called Platform as a Service
(PaaS), offering Cloud users a development platform to
build their applications.
•PaaS offers only the user level middleware, which allows
development and deployment of applications on any Cloud
infrastructure.
•PaaS includes the lower layer (IaaS) as well that is bundled
with the offered service.

13. Different Cloud Computing Layers
Examples
Application MS Live/Exchange Labs, IBM,
Service Google Apps; Salesforce.com
(SaaS) Quicken Online, Zoho, Cisco
Google App Engine, Mosso,
Application Force.com, Engine Yard,
Platform Facebook, Heroku, AWS
Server 3Tera, EC2, SliceHost,
GoGrid, RightScale, Linode
Platform
Storage Amazon S3, Dell, Apple, ...
Platform

14. Deployment Model of Cloud
Computing
Model are three types
•
Public cloud
•
Private cloud
•
Hybrid cloud

15. Public Model
•Public Cloud is the most common deployment model where
services are available to anyone on Internet.
• To support thousand of public domain users, datacenters built
by public Cloud providers are quite large comprising of
thousands of servers with high speed network.
• A public Cloud can offer any of the three kinds of services: IaaS,
PaaS, and SaaS.
• Amazon EC2 is a public Cloud providing infrastructure as a
service.
•Google AppEngine is a public Cloud providing an application
development platform as a service.
Salesforce.com is public Cloud providing software as a service.

16. Private Cloud
•private Clouds are deployed within the premise of an
organization to provide IT services to its internal users.
•The private Cloud services offer greater control over the
infrastructure, improving security and service resilience
because its access is restricted to one or few organizations.
•Private deployment poses an inherent limitation to end user
applications.
•An organization can buy more machines according to
expanding needs of its users, but this cannot be done as fast and
seamlessly as with public Clouds.

17. Hybrid Cloud
•Hybrid Clouds is the deployment which emerged due to
diffusion of both public and private Clouds’s advantages.
•Organizations outsource non-critical information and
processing to the public Cloud, keepscritical services and
data in their control.
• Organizations utilize their existing IT infrastructure for
maintaining sensitive information within the premises,
and whenever require auto-scaling their resources using
public Clouds.
•The hybrid Cloud, in general, applies to services related to
IT infrastructure rather than software services.

18. Deployment model of clouds

19. Virtualization
• Virtual workspaces:
• An abstraction of an execution environment that can be
made dynamically available to authorised clients by using
well-defined protocols,
• Resource quota (e.g. CPU, memory share),
• Software configuration (e.g. O/S, provided services).
• Implement on Virtual Machines (VMs):
• Abstraction of a physical host machine,
• Hypervisor intercepts and emulates instructions from VMs,
and allows management of VMs,
• VMWare, Xen, etc. App App App
OS OS OS
• Provide infrastructure API:
Hypervisor
• Plug-ins to hardware/support structures
Hardware
Virtualized Stack

20. Key Technology: Virtualization
App App App
App App App OS OS OS
Operating System Hypervisor
Hardware Hardware
Traditional Stack Virtualized Stack

21. Cloud Storage
• Several large Web companies (such as Amazon and
Google) are now exploiting the fact that they have
data storage capacity that can be hired out to others.
• This approach, known as cloud storage allows data
stored remotely to be temporarily cached on desktop
computers, mobile phones or other Internet-linked
devices.
• Amazon’s Elastic Compute Cloud (EC2) and Simple
Storage Solution (S3) are well known examples.
19th May, 09 mark.baker@computer.org

22. Enabling Technologies
Cloud applications: data-intensive, compute-intensive,
storage-intensive
Bandwidth
WS
Services
interface
Web-services, SOA, WS standards
VM0 VM1 VMn
Virtualization: bare metal, hypervisor. …
Storage
Models: S3,
BigTable,
BlobStore, ...
Multi-core architectures
64-bit
processor

23. Common Features of Cloud Providers
Development Production
Environment: Environment
IDE, SDK, Plugins
Simple Table Store Drives Accessible
storage <key, value> through
Web services
Management Console and Monitoring tools
& multi-level security
6/23/2010 Wipro Chennai 2011

24. Windows Azure
• Enterprise-level on-demand capacity
builder
• Fabric of cycles and storage available on-
request for a cost
• You have to use Azure API to work with the
infrastructure offered by Microsoft
• Significant features: web role, worker role ,
blob storage, table and drive-storage
6/23/2010 Wipro Chennai 2011

25. Amazon EC2
• Amazon EC2 is one large complex web service.
• EC2 provided an API for instantiating computing
instances with any of the operating systems
supported.
• It can facilitate computations through Amazon
Machine Images (AMIs) for various other models.
• Signature features: S3, Cloud Management Console,
MapReduce Cloud, Amazon Machine Image (AMI)
• Excellent distribution, load balancing, cloud
monitoring tools
6/23/2010 Wipro Chennai 2011

26. Google App Engine
• This is more a web interface for a development
environment that offers a one stop facility for
design, development and deployment Java and
Python-based applications in Java, Go and Python.
• Google offers the same reliability, availability and
scalability at par with Google’s own applications
• Interface is software programming based
• Comprehensive programming platform irrespective
of the size (small or large)
• Signature features: templates and appspot, excellent
monitoring and management console
6/23/2010 Wipro Chennai 2011

27. Cloud computing takes
virtualization to the next step
• You don’t have to own the hardware
• You “rent” it as needed from a cloud
• There are public clouds
• e.g. Amazon EC2, and now many others
(Microsoft, IBM, Sun, and others ...)
• A company can create a private one
• With more control over security, etc.
20090909_VirtualizationAndCloud

28. Traditional Datacenter Utilization

29. Virtualized Datacenter Utilization

30. Cloud Datacenter Utilization

31. •Cloud Sevice Providers
Company Services
Amazon Elastic Compute Cloud
(Amazon EC2)
Amazon SimpleDB
Amazon Simple Storage Service
Amazon (Amazon S3)
Amazon CloudFront
Web Services Amazon Simple Queue Service
(Amazon SQS)
Amazon Elastic MapReduce
Amazon Relational Database Service
(Amazon RDS)
AWS Premium Support
Citrix Systems Citrix Cloud Center (C3) virtualization
and networking products

32. Dynamic infrastructure.
Service management for
cloud computing.
IBM
IBM software in a cloud
environment using Amazon
Machine Images
Windows Azure: operating
system as a service.
Microsoft Microsoft SQL Azure:
Windows Azure relational database in the
cloud
Developer tools.
Sun Cloud Partner Initiative
Sun Scalable infrastructure
Cloud Computing

33. Conclusion
•Cloud computing is the fastest growing part
of IT
• Tremendous benefits to customers of
customers of all sizes
• Clouds services are simpler to acquire
• Private clouds offer many benefits for
internal applications
• Cloud computing infrastructures are next
generation platforms

34. •Cloud computing has improved resource
utilization
• Cloud computing, being an emerging
technology also raises significant questions
about its environmental sustainability

35. Comparison of Significant
Cloud Datacenters

36. Where do we go from here?
• Any ideas to keep us out of the rain?
20090909_VirtualizationAndCloud